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利用 SSR、DarT 和系谱数据评估加拿大大麦的遗传多样性比较分析。

Comparative analysis of genetic diversity in Canadian barley assessed by SSR, DarT, and pedigree data.

机构信息

Département de Phytologie, Université Laval, 1243 Marchand Building, Québec, QC G1K 7P4, Canada.

出版信息

Genome. 2013 Jun;56(6):351-8. doi: 10.1139/gen-2013-0048. Epub 2013 Jun 18.

Abstract

The aim of this study was to measure genetic diversity and population structure among 92 Canadian barley cultivars using two types of molecular markers (SSRs and DArTs) and pedigree data. A total of 368 alleles were identified at 50 SSR loci. The number of alleles per locus ranged between 2 and 13 ([Formula: see text] = 7.36) and PIC values ranged from 0.34 to 0.86 ([Formula: see text] = 0.69). For the biallelic DArT markers, the genetic distance matrix was based on 971 markers whose PIC values ranged between 0.06 and 0.50 ([Formula: see text] = 0.39). A third distance matrix was computed based on the kinship coefficient. Clustering of genotypes was performed based on the genetic distance matrix and the three dendrograms obtained showed the genetic relationships among barley cultivars. The topological similarity of the three dendrograms was estimated using a congruence index and showed the three dendrograms to be in very good agreement. Statistical analysis also showed a highly significant correlation between the SSR and DArT matrices (r = 0.80, p < 0.002) compared with lower yet significant correlations of the pedigree data with both marker types (r = 0.46, p < 0.002; r = 0.52, p < 0.002). Finally, we assessed linkage disequilibrium in this germplasm and found it to be quite extensive, as the mean distance between marker pairs with significant (P < 0.001) r(2) values >0.5 was 3.8 cM. Information obtained from comparing results of different genetic diversity estimation methods should be useful for the improvement and conservation of barley genetic resources.

摘要

本研究旨在利用两种分子标记(SSR 和 DArT)和系谱数据,测量 92 个加拿大大麦品种的遗传多样性和群体结构。在 50 个 SSR 位点共鉴定出 368 个等位基因。每个位点的等位基因数范围在 2 到 13 个之间([Formula: see text] = 7.36),PIC 值范围在 0.34 到 0.86 之间([Formula: see text] = 0.69)。对于二倍体 DArT 标记,遗传距离矩阵基于 PIC 值在 0.06 到 0.50 之间的 971 个标记([Formula: see text] = 0.39)。基于亲缘系数计算了第三个距离矩阵。基于遗传距离矩阵对基因型进行聚类,得到的三个聚类树显示了大麦品种之间的遗传关系。使用一致性指数估计了三个聚类树的拓扑相似性,表明三个聚类树非常一致。统计分析还表明,SSR 和 DArT 矩阵之间存在高度显著的相关性(r = 0.80,p < 0.002),而系谱数据与两种标记类型的相关性较低,但仍有显著相关性(r = 0.46,p < 0.002;r = 0.52,p < 0.002)。最后,我们评估了该种质资源中的连锁不平衡,发现其非常广泛,因为显著(P < 0.001)r(2)值大于 0.5 的标记对之间的平均距离为 3.8 cM。比较不同遗传多样性估计方法的结果得到的信息,应该有助于大麦遗传资源的改良和保护。

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